default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPetia Radeva
Petia Radeva Ivanova
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j112]Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, Elisa Rauseo, Aaron M. Lee, Karim Lekadir, Petia Radeva, Steffen E. Petersen, Gloria Menegaz:
A review of evaluation approaches for explainable AI with applications in cardiology. Artif. Intell. Rev. 57(9): 240 (2024)- [j111]Soumick Chatterjee
, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Valerie Krug, Rupali Khatun, Rahul Mishra, Nirja Desai, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger:
Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images. J. Imaging 10(2): 45 (2024) - [j110]Amir Sezavar, Hassan Farsi, Sajad Mohamadzadeh, Petia Radeva:
A new person re-identification method by defining CNN-based feature extractor and sparse representation. Multim. Tools Appl. 83(4): 11043-11059 (2024) - [j109]Bhalaji Nagarajan, Ricardo Marques, Eduardo Aguilar, Petia Radeva:
Bayesian DivideMix++ for Enhanced Learning with Noisy Labels. Neural Networks 172: 106122 (2024) - [j108]Albert Tatjer, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva:
Decoding class dynamics in learning with noisy labels. Pattern Recognit. Lett. 184: 239-245 (2024) - [j107]Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Gloria Menegaz, Petia Radeva:
Characterizing the Contribution of Dependent Features in XAI Methods. IEEE J. Biomed. Health Informatics 28(11): 6466-6473 (2024) - [c207]Umair Haroon, Ahmad AlMughrabi, Ricardo Marques, Petia Radeva:
MVSBoost: An Efficient Point Cloud-Based 3D Reconstruction. CCIA 2024: 223-232 - [c206]Riccardo Smeriglio, Joana Rosell-Mirmi, Petia Radeva, Jordi Abante:
Leveraging protein-protein interactions in phenotype prediction through graph neural networks. CIBCB 2024: 1-8 - [c205]Jesús M. Rodríguez-de-Vera, Imanol G. Estepa, Marc Bolaños, Bhalaji Nagarajan, Petia Radeva:
LOFI: LOng-tailed FIne-Grained Network for Food Recognition. CVPR Workshops 2024: 3750-3760 - [c204]Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva:
Ontology-Driven Deep Learning Model for Multitask Visual Food Analysis. VISIGRAPP (2): VISAPP 2024: 624-631 - [e23]Petia Radeva, Antonino Furnari, Kadi Bouatouch, A. Augusto de Sousa:
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 2: VISAPP, Rome, Italy, February 27-29, 2024. SCITEPRESS 2024, ISBN 978-989-758-679-8 [contents] - [e22]Petia Radeva, Antonino Furnari, Kadi Bouatouch, A. Augusto de Sousa:
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 3: VISAPP, Rome, Italy, February 27-29, 2024. SCITEPRESS 2024, ISBN 978-989-758-679-8 [contents] - [e21]Petia Radeva, Antonino Furnari, Kadi Bouatouch, A. Augusto de Sousa:
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 4: VISAPP, Rome, Italy, February 27-29, 2024. SCITEPRESS 2024, ISBN 978-989-758-679-8 [contents] - [i63]Umair Haroon, Ahmad AlMughrabi, Ricardo Marques, Petia Radeva:
MVSBoost: An Efficient Point Cloud-based 3D Reconstruction. CoRR abs/2406.13515 (2024) - [i62]Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva:
VolETA: One- and Few-shot Food Volume Estimation. CoRR abs/2407.01717 (2024) - [i61]Ahmad AlMughrabi, Ricardo Marques, Petia Radeva:
MomentsNeRF: Leveraging Orthogonal Moments for Few-Shot Neural Rendering. CoRR abs/2407.02668 (2024) - [i60]Jesús M. Rodríguez-de-Vera, Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva:
Precision at Scale: Domain-Specific Datasets On-Demand. CoRR abs/2407.03463 (2024) - [i59]Jiangpeng He, Yuhao Chen, Gautham Vinod, Talha Ibn Mahmud, Fengqing Zhu, Edward J. Delp, Alexander Wong, Pengcheng Xi, Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva, Jiadong Tang, Dianyi Yang, Yu Gao, Zhaoxiang Liang, Yawei Jueluo, Chengyu Shi, Pengyu Wang:
MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results. CoRR abs/2407.09285 (2024) - [i58]Ahmad AlMughrabi, Adrián Galán, Ricardo Marques, Petia Radeva:
FoodMem: Near Real-time and Precise Food Video Segmentation. CoRR abs/2407.12121 (2024) - 2023
- [j106]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Multimodal image sensor fusion in a cascaded framework using optimized dual channel pulse coupled neural network. J. Ambient Intell. Humaniz. Comput. 14(9): 11985-12004 (2023) - [j105]Bhalaji Nagarajan, Marc Bolaños, Eduardo Aguilar, Petia Radeva:
Deep ensemble-based hard sample mining for food recognition. J. Vis. Commun. Image Represent. 95: 103905 (2023) - [j104]Martín Menchón, Estefanía Talavera, Jose M. Massa, Petia Radeva:
Behavioural patterns discovery for lifestyle analysis from egocentric photo-streams. Pervasive Mob. Comput. 95: 101846 (2023) - [j103]Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro F. Frangi, U. Rajendra Acharya, Abbas Khosravi, Hak-Keung Lam, Alexander Jung, Saeid Nahavandi:
Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. IEEE Trans. Ind. Informatics 19(1): 274-285 (2023) - [c203]Albert Tatjer, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva:
CCLM: Class-Conditional Label Noise Modelling. IbPRIA 2023: 3-14 - [c202]Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva:
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction. ICCV 2023: 16197-16207 - [c201]Imanol González Estepa, Jesús M. Rodríguez-de-Vera, Bhalaji Nagarajan, Petia Radeva:
Good Fences Make Good Neighbours. ICCV (Workshops) 2023: 216-226 - [c200]Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer:
Continual Evidential Deep Learning for Out-of-Distribution Detection. ICCV (Workshops) 2023: 3436-3446 - [c199]Pierfrancesco Bruni, Alex Falcon, Petia Radeva:
Time-Aware Circulant Matrices for Question-Based Temporal Localization. ICIAP (2) 2023: 182-195 - [c198]Petia Radeva:
Self-Supervised Fine-Grained Food Recognition. ICPRAM 2023: 5 - [c197]Jesús M. Rodríguez-de-Vera, Pablo Villacorta, Imanol G. Estepa, Marc Bolaños, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva:
Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition. MADiMa@MM 2023: 43-52 - [c196]David Dueñas Gaviria, Md Mostafa Kamal Saker, Petia Radeva:
Efficient Deep Learning Ensemble for Skin Lesion Classification. VISIGRAPP (5: VISAPP) 2023: 303-314 - [e20]A. Augusto de Sousa, Vlastimil Havran, Alexis Paljic, Tabitha C. Peck, Christophe Hurter, Helen C. Purchase, Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch:
Computer Vision, Imaging and Computer Graphics Theory and Applications - 16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8-10, 2021, Revised Selected Papers. Communications in Computer and Information Science 1691, Springer 2023, ISBN 978-3-031-25476-5 [contents] - [e19]A. Augusto de Sousa, Kurt Debattista, Alexis Paljic, Mounia Ziat, Christophe Hurter, Helen C. Purchase, Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch:
Computer Vision, Imaging and Computer Graphics Theory and Applications - 17th International Joint Conference, VISIGRAPP 2022, Virtual Event, February 6-8, 2022, Revised Selected Papers. Communications in Computer and Information Science 1815, Springer 2023, ISBN 978-3-031-45724-1 [contents] - [e18]Petia Radeva, Giovanni Maria Farinella, Kadi Bouatouch:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2023, Volume 4: VISAPP, Lisbon, Portugal, February 19-21, 2023. SCITEPRESS 2023, ISBN 978-989-758-634-7 [contents] - [e17]Petia Radeva, Giovanni Maria Farinella, Kadi Bouatouch:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2023, Volume 5: VISAPP, Lisbon, Portugal, February 19-21, 2023. SCITEPRESS 2023, ISBN 978-989-758-634-7 [contents] - [i57]Pablo Villacorta, Jesús M. Rodríguez-de-Vera, Marc Bolaños, Ignacio Sarasua, Bhalaji Nagarajan, Petia Radeva:
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets. CoRR abs/2303.09269 (2023) - [i56]Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva:
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction. CoRR abs/2303.09417 (2023) - [i55]Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva:
Pre-NeRF 360: Enriching Unbounded Appearances for Neural Radiance Fields. CoRR abs/2303.12234 (2023) - [i54]Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Gloria Menegaz, Petia Radeva:
Characterizing the contribution of dependent features in XAI methods. CoRR abs/2304.01717 (2023) - [i53]Ahmed M. A. Salih, Zahra Raisi-Estabragh, Ilaria Boscolo Galazzo, Petia Radeva, Steffen E. Petersen, Gloria Menegaz, Karim Lekadir:
Commentary on explainable artificial intelligence methods: SHAP and LIME. CoRR abs/2305.02012 (2023) - [i52]Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer:
Continual Evidential Deep Learning for Out-of-Distribution Detection. CoRR abs/2309.02995 (2023) - [i51]Payal Wankhede, Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention. CoRR abs/2310.11896 (2023) - [i50]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder. CoRR abs/2310.11910 (2023) - 2022
- [j102]Eduardo Aguilar, Bhalaji Nagarajan, Petia Radeva:
Uncertainty-aware selecting for an ensemble of deep food recognition models. Comput. Biol. Medicine 146: 105645 (2022) - [j101]Eduardo Aguilar, Bhalaji Nagarajan, Beatriz Remeseiro, Petia Radeva:
Bayesian deep learning for semantic segmentation of food images. Comput. Electr. Eng. 103: 108380 (2022) - [j100]Ilaria Boscolo Galazzo, Federica Cruciani, Lorenza Brusini, Ahmed M. A. Salih, Petia Radeva, Silvia Francesca Storti, Gloria Menegaz:
Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges. IEEE Signal Process. Mag. 39(2): 99-116 (2022) - [j99]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Optimized Multimodal Neurological Image Fusion Based on Low-Rank Texture Prior Decomposition and Super-Pixel Segmentation. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [c195]Rishesh Agarwal, Manisha Das, Deep Gupta, Petia Radeva:
Video Colorization Using Modified Autoencoder Generative Adversarial Networks. CVIP (1) 2022: 304-315 - [c194]Nil Ballús, Bhalaji Nagarajan, Petia Radeva:
Opt-SSL: An Enhanced Self-Supervised Framework for Food Recognition. IbPRIA 2022: 655-666 - [c193]Guillem Martinez, Maya Aghaei, Martin Dijkstra, Bhalaji Nagarajan, Femke Jaarsma, Jaap van de Loosdrecht, Petia Radeva, Klaas Dijkstra:
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation. ICIP 2022: 2331-2335 - [c192]Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Federica Cruciani, Lorenza Brusini, Petia Radeva:
Investigating Explainable Artificial Intelligence for MRI-based Classification of Dementia: a New Stability Criterion for Explainable Methods. ICIP 2022: 4003-4007 - [c191]Kaisar Kushibar, Víctor M. Campello, Lidia Garrucho, Akis Linardos, Petia Radeva, Karim Lekadir:
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. MICCAI (8) 2022: 514-524 - [c190]Javier Ródenas, Bhalaji Nagarajan, Marc Bolaños, Petia Radeva:
Learning Multi-Subset of Classes for Fine-Grained Food Recognition. MADiMa @ ACM Multimedia 2022: 17-26 - [c189]Dhruvi Shah, Hareshwar Wani, Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
STPGANsFusion: Structure and Texture Preserving Generative Adversarial Networks for Multi-modal Medical Image Fusion. NCC 2022: 172-177 - [c188]Vishwesh Pillai, Pranav Mehar, Manisha Das, Deep Gupta, Petia Radeva:
Integrated Hierarchical and Flat Classifiers for Food Image Classification using Epistemic Uncertainty. SPCOM 2022: 1-5 - [c187]Bhalaji Nagarajan, Ricardo Marques, Marcos Mejia, Petia Radeva:
Class-conditional Importance Weighting for Deep Learning with Noisy Labels. VISIGRAPP (5: VISAPP) 2022: 679-686 - [e16]Kadi Bouatouch, A. Augusto de Sousa, Manuela Chessa, Alexis Paljic, Andreas Kerren, Christophe Hurter, Giovanni Maria Farinella, Petia Radeva, José Braz:
Computer Vision, Imaging and Computer Graphics Theory and Applications - 15th International Joint Conference, VISIGRAPP 2020 Valletta, Malta, February 27-29, 2020, Revised Selected Papers. Communications in Computer and Information Science 1474, Springer 2022, ISBN 978-3-030-94892-4 [contents] - [e15]Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Volume 4: VISAPP, Online Streaming, February 6-8, 2022. SCITEPRESS 2022, ISBN 978-989-758-555-5 [contents] - [e14]Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Volume 5: VISAPP, Online Streaming, February 6-8, 2022. SCITEPRESS 2022, ISBN 978-989-758-555-5 [contents] - [i49]Kaisar Kushibar, Víctor Manuel Campello, Lidia Garrucho Moras, Akis Linardos, Petia Radeva, Karim Lekadir:
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. CoRR abs/2203.08878 (2022) - [i48]Guillem Martinez, Maya Aghaei, Martin Dijkstra, Bhalaji Nagarajan, Femke Jaarsma, Jaap van de Loosdrecht, Petia Radeva, Klaas Dijkstra:
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation. CoRR abs/2203.12350 (2022) - 2021
- [j98]Alina Matei, Andreea Glavan, Petia Radeva, Estefanía Talavera:
Towards Eating Habits Discovery in Egocentric Photo-Streams. IEEE Access 9: 17495-17506 (2021) - [j97]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Optimized CT-MR neurological image fusion framework using biologically inspired spiking neural model in hybrid ℓ1 - ℓ0 layer decomposition domain. Biomed. Signal Process. Control. 68: 102535 (2021) - [j96]Giuseppe Pezzano, Oliver Díaz, Vicent J. Ribas Ripoll, Petia Radeva:
CoLe-CNN+: Context learning - Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation. Comput. Biol. Medicine 136: 104689 (2021) - [j95]Giuseppe Pezzano, Vicent J. Ribas Ripoll, Petia Radeva:
CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation. Comput. Methods Programs Biomed. 198: 105792 (2021) - [j94]Andreea Glavan, Alina Matei, Petia Radeva, Estefanía Talavera:
Does our social life influence our nutritional behaviour? Understanding nutritional habits from egocentric photo-streams. Expert Syst. Appl. 171: 114506 (2021) - [j93]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Vivek Kumar Singh, Syeda Furruka Banu, Forhad U. H. Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig, Mohamed Abdel-Nasser:
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network. Expert Syst. Appl. 183: 115433 (2021) - [j92]Petia Radeva, Giovanni Maria Farinella:
Editorial: Computer Vision Theory and Applications at VISAPP 2020. Int. J. Pattern Recognit. Artif. Intell. 35(16): 2102002:1-2102002:4 (2021) - [j91]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Multi-scale decomposition-based CT-MR neurological image fusion using optimized bio-inspired spiking neural model with meta-heuristic optimization. Int. J. Imaging Syst. Technol. 31(4): 2170-2188 (2021) - [c186]Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Polyxeni Gkontra, Karim Lekadir, Gloria Menegaz, Petia Radeva:
A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation. CBMS 2021: 492-497 - [c185]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Deep and Bio-Inspired Spiking Neural Networks Based Optimized Multi-modal Neurological Image Fusion Model. PReMI 2021: 233-241 - [e13]Giovanni Maria Farinella, Petia Radeva, José Braz, Kadi Bouatouch:
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 4: VISAPP, Online Streaming, February 8-10, 2021. SCITEPRESS 2021, ISBN 978-989-758-488-6 [contents] - [e12]Giovanni Maria Farinella, Petia Radeva, José Braz, Kadi Bouatouch:
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 5: VISAPP, Online Streaming, February 8-10, 2021. SCITEPRESS 2021, ISBN 978-989-758-488-6 [contents] - [i47]Alejandro Cartas, Petia Radeva, Mariella Dimiccoli:
Modeling long-term interactions to enhance action recognition. CoRR abs/2104.11520 (2021) - 2020
- [j90]Alejandro Cartas, Petia Radeva, Mariella Dimiccoli:
Activities of Daily Living Monitoring via a Wearable Camera: Toward Real-World Applications. IEEE Access 8: 77344-77363 (2020) - [j89]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
NSST domain CT-MR neurological image fusion using optimised biologically inspired neural network. IET Image Process. 14(16): 4291-4305 (2020) - [j88]Khalid El Asnaoui, Petia Radeva:
Automatically Assess Day Similarity Using Visual Lifelogs. J. Intell. Syst. 29(1): 298-310 (2020) - [j87]Estefanía Talavera, Carolin Wuerich, Nicolai Petkov, Petia Radeva:
Topic modelling for routine discovery from egocentric photo-streams. Pattern Recognit. 104: 107330 (2020) - [j86]Eduardo Aguilar, Petia Radeva:
Uncertainty-aware integration of local and flat classifiers for food recognition. Pattern Recognit. Lett. 136: 237-243 (2020) - [j85]Margaríta Torre, Beatriz Remeseiro, Petia Radeva, Fernando Martínez:
DeepNEM: Deep Network Energy-Minimization for Agricultural Field Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 726-737 (2020) - [j84]Estefanía Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker, Domenec Puig, Nicolai Petkov, Petia Radeva:
Hierarchical Approach to Classify Food Scenes in Egocentric Photo-Streams. IEEE J. Biomed. Health Informatics 24(3): 866-877 (2020) - [c184]Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva:
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. BIOSTEC (Selected Papers) 2020: 3-16 - [c183]Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva:
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. BIOSTEC 2020: 9-16 - [c182]Petia Radeva:
Uncertainty Modeling within an End-to-end Framework for Food Image Analysis. DeLTA 2020: 5 - [c181]Martín Menchón, Estefanía Talavera, Jose M. Massa, Petia Radeva:
Behavioural Pattern Discovery from Collections of Egocentric Photo-Streams. ECCV Workshops (4) 2020: 469-484 - [c180]Petia Radeva:
DVAE-SR: denoiser variational auto-encoder and super-resolution to counter adversarial attacks. ICMV 2020: 1160522 - [c179]Alejandro Cartas, Estefanía Talavera, Petia Radeva, Mariella Dimiccoli:
Understanding Event Boundaries for Egocentric Activity Recognition from Photo-Streams. ICPR Workshops (3) 2020: 334-347 - [c178]Bhalaji Nagarajan, Eduardo Aguilar, Petia Radeva:
S2ML-TL Framework for Multi-label Food Recognition. ICPR Workshops (5) 2020: 629-646 - [c177]Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva:
Uncertainty-Aware Data Augmentation for Food Recognition. ICPR 2020: 4017-4024 - [c176]Alejandro Cartas, Petia Radeva, Mariella Dimiccoli:
Modeling Long-Term Interactions to Enhance Action Recognition. ICPR 2020: 10351-10358 - [c175]Mariona Caros, Maite Garolera, Petia Radeva, Xavier Giró-i-Nieto:
Automatic Reminiscence Therapy for Dementia. ICMR 2020: 383-387 - [e11]Giovanni Maria Farinella, Petia Radeva, José Braz:
Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020, Volume 4: VISAPP, Valletta, Malta, February 27-29, 2020. SCITEPRESS 2020, ISBN 978-989-758-402-2 [contents] - [e10]Giovanni Maria Farinella, Petia Radeva, José Braz:
Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020, Volume 5: VISAPP, Valletta, Malta, February 27-29, 2020. SCITEPRESS 2020, ISBN 978-989-758-402-2 [contents] - [i46]Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Rupali Khatun, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger:
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images. CoRR abs/2006.02570 (2020) - [i45]Martín Menchón, Estefanía Talavera, Jose M. Massa, Petia Radeva:
Behavioural pattern discovery from collections of egocentric photo-streams. CoRR abs/2008.09561 (2020) - [i44]Estefanía Talavera, Andreea Glavan, Alina Matei, Petia Radeva:
Eating Habits Discovery in Egocentric Photo-streams. CoRR abs/2009.07646 (2020)
2010 – 2019
- 2019
- [j83]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Estefanía Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig:
Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism. IEEE Access 7: 39069-39082 (2019) - [j82]Stefan Lonn, Petia Radeva, Mariella Dimiccoli:
Smartphone picture organization: A hierarchical approach. Comput. Vis. Image Underst. 187 (2019) - [j81]Eduardo Aguilar, Marc Bolaños, Petia Radeva:
Regularized uncertainty-based multi-task learning model for food analysis. J. Vis. Commun. Image Represent. 60: 360-370 (2019) - [c174]Eduardo Aguilar, Petia Radeva:
Class-Conditional Data Augmentation Applied to Image Classification. CAIP (2) 2019: 182-192 - [c173]Estefanía Talavera, Nicolai Petkov, Petia Radeva:
Unsupervised Routine Discovery in Egocentric Photo-Streams. CAIP (1) 2019: 576-588 - [c172]Md. Mostafa Kamal Sarker, Syeda Furruka Banu, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Sylvie Chambon, Petia Radeva, Domenec Puig:
Food Places Classification in Egocentric Images Using Siamese Neural Networks. CCIA 2019: 145-151 - [c171]Eduardo Aguilar, Petia Radeva:
Food Recognition by Integrating Local and Flat Classifiers. IbPRIA (1) 2019: 65-74 - [c170]Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli:
Seeing and Hearing Egocentric Actions: How Much Can We Learn? ICCV Workshops 2019: 4470-4480 - [c169]Emanuel Sánchez Aimar, Petia Radeva, Mariella Dimiccoli:
Social Relation Recognition in Egocentric Photostreams. ICIP 2019: 3227-3231 - [i43]Estefanía Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva:
Towards Egocentric Person Re-identification and Social Pattern Analysis. CoRR abs/1905.04073 (2019) - [i42]Estefanía Talavera, Nicolai Petkov, Petia Radeva:
Unsupervised routine discovery in egocentric photo-streams. CoRR abs/1905.04076 (2019) - [i41]Estefanía Talavera, Nicolai Petkov, Petia Radeva:
Towards Unsupervised Familiar Scene Recognition in Egocentric Videos. CoRR abs/1905.04093 (2019) - [i40]Estefanía Talavera, Maria Leyva-Vallina,